Intelligent 输入法應用程式 by Tian Wu, Yuting Cai, Meng Xu and Lili Zhai

Intelligent 输入法應用程式 by Tian Wu, Yuting Cai, Meng Xu and Lili Zhai is a highly esteemed winner of the very prestigious 2022 A' Design Award 銅獎 in 介面、互動及用戶體驗設計 Competition Category.

銅介面· 2022

Intelligent 输入法應用程式

by Tian Wu, Yuting Cai, Meng Xu and Lili Zhai

Client: Baidu Online Network Technology (Beijing) Co., Ltd

A' Design Award 銅獎 Winner in 介面 Category

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Verified Award Winner
Verify Award Status for #137199

View at A' Design Award Press Release Award Badge

Colors

The Design

About Intelligent 输入法應用程式

Intelligent係一款專為智能手機、平板電腦同電腦而設嘅輸入法應用程式。Intelligent結合咗多項人工智能技術，可喺Android、iOS、MacOS同Windows系統上運行。人臉識別功能可以辨識用戶身份，並提供匹配嘅使用模式，例如為長者而設嘅模式，支援手寫輸入同埋針對生僻字詞嘅語音助手。手勢識別功能容許用戶喺半空中書寫，毋須接觸螢幕都可以輸入文字。呢個設計嘅目標係為喺打字同表達方面面對障礙嘅群體，提供更輕鬆嘅溝通方式。

The Recognition

About the A' Design Award 銅獎

Intelligent 输入法應用程式是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計Intelligent 输入法應用程式將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。Intelligent 输入法應用程式出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Integrating multiple AI technologies, this intelligent input method can be applied in multiple intelligent terminals. By switching among the multiple modes targeting different populations, it meets the input demands of different target user groups, provides more intelligent assistance and services, and brings users smoother communication experience.
Dimensions & Packaging: Universally applicable to all models including Android, iOS, MacOS and Windows and all sizes.
Tags: Intelligent input, artificial intelligence (AI), user experience (UX), user interface design, expression assistance, elderly input, touchless input
Production Technology: This app is universally applicable to Android, iOS, MacOS and Windows. Consistent experience is provided for different terminals relying on multiple AI technologies.
Design Challenge: As our design targets special populations, we should consider their difficulties in input by putting ourselves in their position, including practical operation problems and psychological barriers. Therefore, we have our solution proved by more target users, thus to truly solve their input barrier and bring them more confidence and warmth.
Research: This scheme is designed according to the current situation and trend of vulnerable groups in China and authoritative data research conclusions. We have discovered the common demands of vulnerable groups in software input. In addition, we have conducted user questionnaire and interview for each user group, to further understand and demonstrate their input characteristics and provide more suitable solutions.
Inspiration: Communication and expression constitute the most common way of human exchange. Four populations (the elderly, deaf-mute, people with expression disorder and people demanding touchless input and communication during the pandemic) cannot engage in efficient communication. This design aims to solve their difficulties in input and communication depending on AI, bring them more confidence and warmth, and enable smooth communication and equality for all.
Project Duration: Initiated in November 2019, with handwriting in the air released in May 2020, the intelligent input for the elderly launched in April 2021, and other functions expected to come out in succession.
The development team is now based in Beijing.
Operation Flow: This design identifies users’ demands through face recognition, provides corresponding modes, assists in users’ efficient and accurate expression, and makes people’s communication easier. For example, it identifies the elderly through AI face recognition, offers the elderly mode, and helps the elderly input rare words in handwriting with the voice assistant; or enables handwriting in the air through gesture recognition, and guarantees users’ safety as users can input without touching the screen.
Team Members: Tian Wu, Yuting Cai, Meng Xu, Lili Zhai, Li Lei, Chenqiang Jin, Jia Yao
Image Credits: Copyright @ Baidu Online Network Technology (Beijing) Co., Ltd., 2020